Generative AI Architect

Job Title: Generative AI Architect

Location: Remote

Employment Type: Full-time

🚀 About the Role

We are seeking an experienced Generative AI Architect to design, develop, and deploy enterprise-grade AI solutions powered by Large Language Models (LLMs) and cutting-edge generative technologies.
You will lead the architecture, experimentation, fine-tuning, and optimization of models for text, code, and multimodal applications — transforming business processes with scalable GenAI systems.

⚙️ Key Responsibilities

• Architect, build, and deploy Generative AI and LLM-based solutions (e.g., GPT, Claude, Gemini, Mistral, Llama).
• Design Retrieval-Augmented Generation (RAG) pipelines integrating vector databases (e.g., Pinecone, FAISS, Weaviate).
• Develop and fine-tune custom LLMs using Hugging Face Transformers, PyTorch, or TensorFlow.
• Build prompt engineering frameworks, few-shot pipelines, and evaluation metrics for generative output quality.
• Collaborate with data engineering teams for data preprocessing, embeddings, and model deployment pipelines (MLOps).
• Implement LLMOps workflows using MLflow, Databricks, Vertex AI, or Azure ML for scalable inference.
• Evaluate open-source and commercial models for use cases such as summarization, Q&A, coding assistance, and image generation.
• Partner with product and business teams to identify AI adoption opportunities and define architectural blueprints.
• Ensure data privacy, model governance, and security compliance in deployed AI systems.

🧩 Required Skills & Experience

• Strong background in Machine Learning / Deep Learning (Transformers, Attention, Diffusion Models).
• Hands-on experience with Python, PyTorch, TensorFlow, and Hugging Face Transformers.
• Proven experience with Generative AI frameworks: LangChain, LlamaIndex, or Semantic Kernel.
• Experience deploying models via AWS Sagemaker, Azure ML, or Google Cloud Platform Vertex AI.
• Understanding of MLOps / LLMOps, CI/CD pipelines, and containerization (Docker, Kubernetes).
• Familiarity with vector databases (Pinecone, FAISS, Milvus, Weaviate).a
• Experience with prompt optimization, model fine-tuning, and API orchestration (OpenAI, Anthropic, Google Gemini, etc.).

Strong problem-solving and communication skills

Thanks, and Regards

Ravikant Tiwari Senior Technical Recruiter E-Solutions M: +1 E:

Generative AI Architect2architect,Generative AIN/AW-2,Full Time,W2,Permanent,Full TImeUnited States